AI/ ML- Project Manager

Essential functions

• Bring approximately 8+ years of program or project management experience, with demonstrated success leading complex cross-functional technology, AI, ML, analytics, data, or automation initiatives.

• Lead end-to-end execution of AI and GenAI initiatives from ideation through deployment, ensuring alignment with business goals, timelines, and success metrics.

• Demonstrate strong knowledge of GenAI, large language models (LLMs), retrieval-augmented generation (RAG), agentic systems, prompt-based workflows, and AI-powered enterprise solutions, with the ability to effectively engage technical and business teams on these topics.

• Partner with cross-functional teams including product, engineering, data science, analytics, operations, security, legal, and business stakeholders to deliver AI-driven solutions.

• Build and manage program plans, roadmaps, milestones, dependencies, risks, and status reporting across multiple concurrent AI projects.

• Drive prioritization and execution of AI use cases based on business value, feasibility, resource requirements, and strategic importance.

• Coordinate delivery across technical and non-technical teams, ensuring clarity on scope, ownership, timelines, and expected outcomes.

• Track program performance using defined KPIs, milestones, and business impact measures, and provide regular updates to leadership and stakeholders.

• Identify and mitigate risks related to delivery, data readiness, technical dependencies, governance, and cross-functional execution.

• Support governance processes for AI initiatives, including documentation, stakeholder reviews, compliance alignment, and responsible AI considerations.

• Facilitate executive reviews, steering meetings, working sessions, and decision-making forums to maintain momentum and alignment.

• Create repeatable frameworks, templates, and operating processes for managing AI initiatives at scale across the organization.

• Work closely with internal teams and external vendors or partners involved in AI solution design, implementation, or integration.

• Apply a strong understanding of AI/ML lifecycle concepts such as use case definition, data dependencies, model development, testing, deployment, and performance tracking.

Qualifications

• Bring approximately 8+ years of program or project management experience, with demonstrated success leading complex cross-functional technology, AI, ML, analytics, data, or automation initiatives.

• Lead end-to-end execution of AI and GenAI initiatives from ideation through deployment, ensuring alignment with business goals, timelines, and success metrics.

• Demonstrate strong knowledge of GenAI, large language models (LLMs), retrieval-augmented generation (RAG), agentic systems, prompt-based workflows, and AI-powered enterprise solutions, with the ability to effectively engage technical and business teams on these topics.

Would be a plus

Demonstrate excellent stakeholder management, communication, planning, and problem-solving skills, with the ability to influence across all levels of the organization.

Bachelor’s degree in Business, Engineering, Computer Science, Information Systems, or a related field required; MBA preferred. PMP, Agile, Scrum, or similar certification is a plus.

We offer

• Opportunity to work on bleeding-edge projects

• Work with a highly motivated and dedicated team

• Competitive salary

• Flexible schedule

• Benefits package - medical insurance, sports

• Corporate social events

• Professional development opportunities

• Well-equipped office

About us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.